Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
Agile @ 7
Audit @ 4
Change Management
Communication @ 6
Compliance @ 4
Data Engineering
GPU
Jira @ 6
Reporting @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is tapping into the potential of AI to define the next era of computing, with GPUs serving as the intelligence behind computers, robots, and autonomous vehicles.
As a Senior Technical Program Manager within the Global IT PMO, you will lead the delivery of sophisticated, enterprise-scale supply chain programs at the intersection of technology, business, and compliance. The role combines technical execution, program leadership, systems integration, and governance to deliver scalable, audit-ready solutions. You will partner with Supply Chain, Finance, Sales, Engineering, IT, and Audit teams worldwide to deliver integrated solutions that support operational excellence, control maturity, and measurable business value.
Responsibilities
- Lead IT programs for AI chip new product introduction (NPI), advanced packaging readiness, manufacturing execution, supply chain planning, and launch gates.
- Partner with engineering, manufacturing, supply chain, quality, and finance teams to translate operational needs into IT delivery roadmaps.
- Drive enhancements across core enterprise platforms, including SAP, manufacturing execution systems (MES), supply chain planning, quality management, and analytics.
- Coordinate cross-functional execution across enterprise architecture, data engineering, cybersecurity, infrastructure, and change management.
- Deliver executive dashboards providing real-time visibility into NPI milestones, launch readiness, supplier status, and capacity.
- Drive secure data exchange, master data alignment, and process handoffs across internal platforms and external partner ecosystems.
- Manage program milestones, risk registers, executive readouts, and vendor scope, schedules, and deliverables.
- Lead user acceptance testing (UAT), deployment, training, communication, and post-launch stabilization while streamlining processes through automation.
Requirements
- Consistent track record leading multifunctional IT programs, enterprise systems, data platforms, and workflow automation.
- Deep understanding of requirements gathering, solution design, Agile/Scrum, testing, deployment, and operational support.
- Solid experience partnering with engineering, operations, supply chain, manufacturing, quality, and finance teams.
- Ability to translate complex operations into clear system requirements, program plans, governance mechanisms, and measurable outcomes.
- Practical experience defining metrics, building dashboards, ensuring data quality, and presenting executive-level reporting.
- Demonstrated capability in leading implementation partners, cross-team dependencies, risk mitigation, and executive communication.
- Excellent written and verbal communication skills, with the ability to simplify complexity and thrive in fast-paced, ambiguous environments.
- Bachelor's degree or MBA in Supply Chain Management, Business, Computer Science, or a related field, or equivalent experience.
- 12 or more years of experience.
Preferred Qualifications
- Direct experience supporting AI chip NPI, advanced packaging, hardware supply chain, or semiconductor manufacturing processes.
- Hands-on experience leading SAP S/4HANA transformations, large-scale ERP rollouts, or master data management implementations.
- Experience with global supply chain ecosystems, external manufacturing partners, role-based access control, and audit compliance.
- Active PMP certification and deep proficiency in Jira and scalable Agile delivery models.
- High data fluency and a track record of converting complex metrics into insights and driving organizational change at scale.
Benefits
- Equity eligibility.
- Employee benefits.
- NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.
Applications will be accepted at least until October 9, 2026. The posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.